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Comparativa de Errores y Tiempos K-Means by Viter López is a document available to read on EtoBox.

The document contains two tables comparing the performance of different clustering algorithms (K-means, K-means with early classification, Viterbo, K-means with early stopping, and K-means with pruning) on datasets of varying sizes (2500, 10000, 40000 points). The first table shows the average squared error and standard deviation for each algorithm. The second table shows the average run time and standard deviation. The last section compares the performance of K-means with early classification to plain K-me

Author

Viter López

Language

EN